Using Data Analytics in Supply Chain
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Using Data Analytics in Supply Chain
This course is part of Unilever Supply Chain Data Analyst Professional Certificate
Instructor: Unilever Team
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Skills you'll gain
- Data Analysis
- Analytics
- Risk Management
- Data Literacy
- Data Visualization
- Data Visualization Software
- Data Cleansing
- Data Analysis Software
- Data Compilation
- Presentations
- Analytical Skills
- Data Management
- Data Quality
- Data Governance
- Data Storytelling
- Data Synthesis
- Supply Chain
- Problem Solving
- Supply Chain Management
- Data Presentation
Details to know
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Build your Data Analysis expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Unilever
There are 5 modules in this course
In the Using Data Analytics in Supply Chain course, you’ll explore the importance of data governance, and learn the fundamental concepts surrounding data. You’ll also learn the tools and processes employed in supply chain analytics, enabling you to gather, analyze, synthesize, validate, and interpret data-driven insights. This ensures that products are efficiently delivered to their destination in a timely and cost-effective manner.
By the end of this course, you’ll be able to: Explain the importance of data governance and adhere to data governance policies. Define data analysis objectives, formulate questions, pinpoint data sources, and implement effective data gathering techniques. Conduct data analysis by applying calculations, summarizations, averages, and classification of information to answer the identified data analysis objectives and questions. Identify how to use SQL, Python, or spreadsheets to clean, manage, consolidate, analyze, and visualize data. Differentiate between various scenarios and construct simulations to evaluate outcomes. Use data visualization to present insights effectively to decision-makers.
In this module, you will focus on the importance of analyzing quality data and how to adhere to data governance policies. You'll be introduced to the data analysis process and the tools used to analyze data. Identify the importance of data quality. Identify the types of data. Explain the importance of data governance and adhere to data governance policies.
What's included
17 videos6 readings4 assignments
17 videos•Total 86 minutes
- Welcome to supply chain data analyst professional certificate•5 minutes
- Welcome to using data analytics in supply chain•3 minutes
- Data basics and why data governance matters•3 minutes
- How I use data analytics•3 minutes
- Introduction to data•4 minutes
- Data main sources•6 minutes
- The importance of data quality•6 minutes
- Introduction to supply chain data analysis•7 minutes
- Supply chain data analysis process•4 minutes
- Types of data•6 minutes
- Organize and format•7 minutes
- Using spreadsheets in data analysis: Functions and formulas•7 minutes
- Using spreadsheets in data analysis: Pivot tables and macros•5 minutes
- Introduction to data governance•5 minutes
- Data governence framework•4 minutes
- Adhering to data governance policies•7 minutes
- Data ethics•5 minutes
6 readings•Total 72 minutes
- Unilever positioning statement•2 minutes
- Supply chain data analyst professional certificate syllabus•30 minutes
- Examples of data•10 minutes
- Dimensions of quality data•10 minutes
- Data analysis tools•10 minutes
- Data quality vs. data governance•10 minutes
4 assignments•Total 90 minutes
- Data basics and why data governance matters•30 minutes
- Can you spot quality data?•15 minutes
- Prosacco activity: Use spreadsheets to organize data•30 minutes
- Supply chain data analysis and tools•15 minutes
In this module, you will focus on how to write the objectives of your analysis, identify the questions you should be answering with the data, determine where to obtain your data, and how to clean and prepare the data obtained.
What's included
12 videos8 readings6 assignments
12 videos•Total 60 minutes
- Welcome to define the data objective•3 minutes
- Identify your data analysis objectives•4 minutes
- Identify your questions to be answered•7 minutes
- Identify the sources of data•8 minutes
- Define and obtain the data•4 minutes
- Gather the data•9 minutes
- Introduction to data preparation•3 minutes
- Data cleansing part 1•4 minutes
- Data cleansing part 2•6 minutes
- Impact of bad data•4 minutes
- Using spreadsheets to clean the data•4 minutes
- Fill the gaps in data•5 minutes
8 readings•Total 56 minutes
- Write SMART objectives•8 minutes
- The five W's and one H•5 minutes
- Activity exemplar: Identify your data analysis objective•5 minutes
- How to identify the sources of data•4 minutes
- How to define which data to obtain•4 minutes
- Quality data vs. bad data•10 minutes
- Prepare the clean data•10 minutes
- Activity exemplar: Prepare the data•10 minutes
6 assignments•Total 150 minutes
- Define and prepare the data•50 minutes
- Prosacco activity: Identify your data analysis objective•20 minutes
- Define the data objective•15 minutes
- Prosacco activity: Gather the data•30 minutes
- Gather the data•15 minutes
- Prosacco activity: Prepare the data•20 minutes
In this module, you will focusing on finding the answers to the identified analysis questions, identifying if errors are present in our analys and making and needed adjustments, intepreting the results and explaining what it means in your own words, and reporting your findings.
What's included
13 videos5 readings6 assignments1 discussion prompt
13 videos•Total 67 minutes
- Welcome to analyze, validate, and intepret the data•3 minutes
- How to analyze the data•4 minutes
- How to apply calculations using spreadsheets•4 minutes
- How to apply summarizations using spreadsheets•4 minutes
- How to apply averages using spreadsheets•4 minutes
- How to apply classifications of information using spreadsheets•6 minutes
- Introduction to data validation•3 minutes
- Types of data validation•7 minutes
- How to perform data validation•4 minutes
- Steps to take if errors exist•4 minutes
- How to interpret the data•7 minutes
- How to explain the data•7 minutes
- Reporting the findings•10 minutes
5 readings•Total 80 minutes
- Solving common challenges in data analysis•10 minutes
- Activity exemplar: Apply calculations, summarizations, averages and classifications of information•20 minutes
- Solving common challenges of data validation•10 minutes
- Activity exemplar: Validate your data•30 minutes
- Best practices for reporting•10 minutes
6 assignments•Total 145 minutes
- Analyze, validate, and intepret the data•30 minutes
- Prosacco activity: Apply calculations, summarizations, averages and classifications of information•30 minutes
- Analyze the data•15 minutes
- Prosacco activity: Validate your data•30 minutes
- Data validation•10 minutes
- Prosacco activity: Develop a quick summary or report•30 minutes
1 discussion prompt•Total 10 minutes
- Share if errors existed in your data and how you corrected those errors.•10 minutes
In this module, you will learn how to use data visualization tools and storytelling to describe the data to decision makers in a clear, concise and comprehensive manner.
What's included
11 videos4 readings5 assignments
11 videos•Total 67 minutes
- Welcome to data visualization•3 minutes
- Introduction to data visualization•4 minutes
- Charts or graphs•5 minutes
- Tables•8 minutes
- Dashboards•8 minutes
- Geospatial visualization•5 minutes
- Introduction to storytelling•4 minutes
- How to tell a story•7 minutes
- Define your audience•6 minutes
- Using visualization tools in storytelling•8 minutes
- Determine the best presentation method•8 minutes
4 readings•Total 60 minutes
- Data visualization tools•10 minutes
- Data visualization best practices•10 minutes
- How I use storytelling with my stakeholders•30 minutes
- Draft a story•10 minutes
5 assignments•Total 600 minutes
- Data visualization•180 minutes
- Prosacco activity: Create data visualizations•30 minutes
- Data visualization•180 minutes
- Using storytelling•180 minutes
- Prosacco activity: Draft your story•30 minutes
This module focuses on how to create a meaningful presentation for your audience and provides you with the skills to present your findings with confidence.
What's included
6 videos5 readings2 assignments1 peer review
6 videos•Total 41 minutes
- Presentation skills basics•4 minutes
- Effective presentation skills: Physical•7 minutes
- Effective presentation skills: Verbal•7 minutes
- Create your presentation: Google Slides or PowerPoint•7 minutes
- Create your presentation: Tableau•7 minutes
- Create your presentation: Power BI•7 minutes
5 readings•Total 87 minutes
- How to improve presentation skills•10 minutes
- Presentation best practices and examples•10 minutes
- Example of an analyst presenting findings to a leader•7 minutes
- Start your portfolio•30 minutes
- Using data analytics in supply chain summary and resources•30 minutes
2 assignments•Total 360 minutes
- Present the data to your audience•180 minutes
- Presentation skills•180 minutes
1 peer review•Total 30 minutes
- Prosacco activity: Create your presentation•30 minutes
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Instructor
Explore more from Data Analysis
- Status: Free TrialR
Rutgers the State University of New Jersey
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- Status: Free TrialU
Unilever
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- Status: Free Trial
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- Status: Free TrialR
Rutgers the State University of New Jersey
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Reviewed on May 5, 2025
I have learned each and every part of the data analytics with best examples Thanks to Coursera Team for providing detail explanation.
Reviewed on Jul 22, 2024
Great course, really opens up a whole new world, and for me as being new in supply chain the content was really informative and building. Great work instructors and Unilever.
Reviewed on Sep 29, 2025
Very helpful. I gain a lot of new knowledges. Thank you Coursera to give me a chance to study.
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